基于煤灰矿物相特性的灰熔点预测  

Prediction of Ash Fusion Temperatures Based on Melting Behavior of Mineral Components in Coal Ash

作　　者：王春波[1] 杨枨钧 陈亮[1] 

机构地区：[1]华北电力大学能源动力与机械工程学院,河北保定071003

出　　处：《动力工程学报》2016年第1期7-15,共9页Journal of Chinese Society of Power Engineering

基　　金：河北省自然科学基金资助项目(2013502292);中央高校基本科研业务费资助项目(13MS92)

摘　　要：以物质平衡为约束条件，采用在弱还原性气氛、温度为T时煤灰中可能存在的化学反应的吉布斯自由能变化之和的最小值min∑△G^θT作为热力学平衡计算的目标函数，建立高温弱还原性气氛下的煤灰矿物相组成模型．引入各矿物相对应的熔点，构建矿物相组成与灰熔点之间的函数关系并用线性回归的方法确定熔点修正值，进而用迭代法建立了灰熔点预测关系式．结果表明：模型模拟得出的矿物相组成不仅与XRD谱图和FactSage谱图有着较好的相似性，而且其变化能反映煤灰熔融特性、预测灰熔点的变化趋势、判断煤灰中主要矿物相组成，灰熔点的预测误差均在-80～80K内．To analyze the coal ash fusion properties and predict the ash fusion temperatures （AFTs）, a mineral composition model of coal ash at high temperatures in weak reducing atmosphere was established by solving linear programming problems with mass balance equations as the constraint conditions and the minimum of total changes in the Gibbs free energy of chemical reactions as the objective function. Based on above mineral composition model, the fusion point of each mineral （fpi） was introduced to build the func- tion relationship （f） between mineral compositions and AFTs, and the corrected values （iφ） were thus ob- tained via linear-regression analysis, and subsequently the AFTs was predicted by iterative method. Re- sults show that the mineral composition simulated by the model has a good similarity with the XRD pat- terns and Fact Sage phase spectrums, and the change of minerals also plays a significant role in reflecting ash fusion characteristics, explaining and predicting the changing trends of AFTs as well as determining major minerals in the coal ash. The absolute error of predicted values lies in the range from -80 K to 80 K.

关 键 词：矿物相特性 灰熔点 预测 模型 线性回归 

分 类 号：TK227.3[动力工程及工程热物理—动力机械及工程]